What is GEO and why does it matter for start-ups?

February 18, 2026

Generative Engine Optimisation (GEO), also known as Answer Engine Optimisation (AEO), is the practice of optimising digital content to increase visibility, citations, and inclusion in responses generated by AI-powered search engines and large language models such as ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude. For start-ups in the UAE operating within the AI and digital marketing landscape, mastering GEO represents a significant competitive advantage as AI-referred sessions surged 527 per cent from January to May 2025.

The digital marketing landscape is undergoing a fundamental transformation. Traditional search behaviour, which has driven online visibility for two decades, is being rapidly supplemented - and in some cases replaced - by conversational AI interfaces that synthesise information rather than simply listing links. For start-ups with limited budgets but ambitious growth targets, understanding and implementing GEO strategies can level the playing field against established competitors.


Understanding GEO: how it differs from traditional SEO

GEO focuses on making content authoritative, semantically relevant, and easily synthesisable for AI engines that process natural language queries, retrieve sources, rank them by relevance and authority, and generate conversational summaries with citations. Unlike traditional SEO, which targets keyword rankings and click-throughs in search engine results pages (SERPs), GEO optimises for inclusion in AI-generated answers.

The distinction becomes clearer when examining user behaviour. Traditional Google searches average approximately four words, whilst queries to AI engines like Perplexity or ChatGPT average 23 words. Such a shift reflects users' expectations of conversational, comprehensive responses rather than a list of blue links to click through.

GEO emerged from a 2023 academic paper by researchers from IIT Delhi, Princeton University, Georgia Tech, and the Allen Institute for AI. The concept gained rapid adoption as businesses recognised the growing influence of AI-powered search on consumer and B2B research behaviours.

How generative engines process queries

AI engines follow a four-stage process when responding to user queries: query processing, retrieval, ranking and selection, and generation. Understanding each stage reveals opportunities for start-ups to optimise their content for maximum visibility.

Query processing

The AI converts natural language queries into semantic vectors for concept matching, moving beyond simple keyword matching. The system seeks to understand the intent, context, and relationships between concepts within the query. Content that addresses topics comprehensively and uses natural language patterns is more likely to be semantically matched.

Retrieval

The engine searches indexed web pages and vector databases for semantically similar content. Content that clearly addresses specific topics with well-defined entities and relationships is more likely to be retrieved as a potential source.

Ranking and selection

Retrieved content is scored by relevance, authority, recency, and structure. GEO strategies specifically target improvements at this stage, where authoritative signals, clear structure, and recent information can significantly boost a page's selection probability.

Generation

The AI synthesises information from top-ranked sources into coherent responses, often including citations to the original content. Pages that present information in easily extractable formats—clear definitions, structured lists, and direct answers—are more likely to be cited.

Why GEO matters for start-ups in the UAE

Start-ups can leverage GEO cost-effectively to build authority in niche topics, compete with established brands, and drive AI-cited traffic as AI becomes the default research tool for complex B2B queries. The UAE's position as a technology hub in the Middle East makes GEO adoption particularly relevant for companies operating in this market.

  • Level playing field: AI engines prioritise content quality and authority signals over domain age and backlink volume, allowing newer companies to compete effectively
  • Cost efficiency: GEO strategies often require content improvements rather than significant advertising spend
  • First-mover advantage: Early adopters gain "AI voice share" as competitors continue focusing solely on traditional SEO
  • B2B research transformation: Decision-makers increasingly use AI tools for complex research queries, making GEO essential for business services
  • Niche authority building: Start-ups can establish expertise in specific areas more readily through GEO than through traditional ranking competitions

Proven GEO strategies for start-ups

Implementing GEO requires a strategic approach that balances content quality, technical structure, and authority building. The following strategies have demonstrated effectiveness in increasing AI citation rates and visibility.

Enhance authority signals

AI engines prioritise content that demonstrates expertise and trustworthiness. Research indicates that methods such as adding statistics or expert quotes boosted visibility by 30 to 40 per cent in generative engine responses.

  • Include relevant statistics and data points from reputable sources
  • Quote recognised experts and cite authoritative research
  • Provide unique data-driven insights specific to your industry or market
  • Reference credible external sources to support claims
  • Demonstrate first-hand experience and expertise in your subject matter

Improve structure and readability

Clear content structure enables AI engines to extract and synthesise information more effectively. Format your content for easy parsing by both human readers and AI systems.

  • Use descriptive headers (H2, H3) that clearly indicate section content
  • Employ bullet points and numbered lists for multi-item information
  • Create tables for comparative data and specifications
  • Write concise paragraphs that address single concepts
  • Avoid dense walls of text that are difficult to parse
  • Begin sections with direct answers before expanding with context

Target semantic relevance

Map the core entities and topics your brand should own, then create content that comprehensively addresses natural language queries in your niche. Entity mapping tools can help identify the semantic relationships your content should establish.

  • Identify the key topics and entities central to your business
  • Create content clusters that thoroughly cover each topic area
  • Include clear definitions for technical terms and concepts
  • Address related questions and sub-topics within comprehensive guides
  • Provide unique angles and perspectives that differentiate your content

Prioritise fluency and specificity

Write in natural, precise language that matches how users ask questions. AI engines favour content that demonstrates expertise through specific details rather than generic statements.

  • Use natural language patterns rather than keyword-stuffed phrases
  • Include specific technical details relevant to your expertise
  • Add recency indicators such as "2026 updates" where appropriate
  • Develop unique vocabulary and terminology within your niche
  • Avoid generic content that could apply to any business

Build comprehensive resources

AI engines favour synthesisable, multi-faceted content over thin pages that address topics superficially. Comprehensive resources are more likely to be selected as source material for AI-generated responses.

  • Produce in-depth guides that address topics thoroughly
  • Create detailed FAQ sections that anticipate user questions
  • Develop comparison content that evaluates options objectively
  • Build resource libraries that establish topical authority
  • Update existing content regularly to maintain relevance and accuracy

Monitor and iterate

Track how AI engines cite and reference your content, then refine your strategy based on observed patterns and gaps. Regular monitoring reveals opportunities for improvement.

  • Query AI tools like Perplexity about your category and observe which sources are cited
  • Analyse the entity associations AI engines make with your brand
  • Identify content gaps where competitors are being cited but you are not
  • Test different content formats and structures to determine effectiveness
  • Document successful patterns and apply them across your content library

Combine GEO with traditional SEO

Layer GEO optimisation onto existing SEO foundations for hybrid benefits. Technical SEO elements continue to support AI crawling and indexing.

  • Implement structured data markup to help AI understand content relationships
  • Maintain fast page load speeds for efficient crawling
  • Ensure mobile optimisation as AI engines access content across devices
  • Continue building quality backlinks that signal authority
  • Optimise meta descriptions to provide clear content summaries

Implementing a GEO framework for your start-up

A systematic approach to GEO implementation combines entity and topic mapping, content optimisation, and performance tracking. Directive's framework exemplifies a start-up-friendly approach that prioritises efficiency and measurable outcomes.

Phase one: entity and topic mapping

Begin by identifying the semantic territory your brand should occupy. Map the entities, concepts, and relationships that define your expertise and market position.

  • List the primary topics and sub-topics relevant to your business
  • Identify the key entities (people, products, concepts) associated with these topics
  • Research how AI engines currently respond to queries in your space
  • Document the sources currently being cited for relevant queries
  • Identify gaps and opportunities where your expertise could be cited

Phase two: content optimisation

Systematically improve existing content and create new resources that align with GEO best practices. Prioritise pages targeting high value queries in your niche.

  • Audit existing content for structure, authority signals, and comprehensiveness
  • Add statistics, expert quotes, and citations to strengthen authority
  • Restructure content with clear headers, lists, and direct answers
  • Fill content gaps identified during the mapping phase
  • Update published dates and add recency indicators where factually appropriate

Phase three: performance tracking

Establish metrics and monitoring processes to evaluate GEO effectiveness and guide ongoing optimisation efforts.

  • Regularly query AI engines about topics in your niche
  • Track citation frequency and context over time
  • Monitor brand mention patterns in AI-generated responses
  • Compare your AI visibility against key competitors
  • Document which content formats and strategies yield the best results


Limitations and considerations

GEO strategies continue to evolve as AI models develop and change their processing approaches. Start-ups should approach GEO with realistic expectations and maintain flexibility in their strategies.

  • No universal formula: AI engines vary in their source selection criteria, requiring empirical testing rather than formulaic approaches
  • Evolving landscape: AI models update frequently, potentially changing what content characteristics they favour
  • Over-optimisation risks: Excessive focus on AI friendly formatting may result in generic content that lacks genuine value
  • Measurement challenges: Attribution and tracking for AI citations remains less mature than traditional SEO analytics
  • Balance required: Content must serve both AI engines and human readers effectively

The future of search visibility

The 527 per cent surge in AI-referred sessions from January to May 2025 signals a fundamental shift in how people discover and consume information. For start-ups in the UAE digital marketing and AI sector, this transformation presents both challenge and opportunity.

Those who establish strong GEO practices now will build "AI voice share" that becomes increasingly valuable as adoption accelerates. The combination of traditional SEO foundations with GEO optimisation creates a robust visibility strategy that addresses both current search behaviour and emerging AI-driven discovery patterns.

Start-ups have a unique advantage in this transition. Without legacy content libraries built entirely around traditional SEO practices, newer companies can build GEO-optimised content from the ground up, establishing authority in niche areas where established competitors may be slower to adapt.

The key to success lies in maintaining focus on genuine value creation. AI engines ultimately seek to provide users with accurate, authoritative, and helpful information. Content that genuinely serves user needs whilst following GEO structural best practices will perform well regardless of how AI algorithms evolve.

Taking the next step with your GEO strategy

Implementing an effective GEO strategy requires both strategic clarity and tactical execution. For start-ups navigating the rapidly evolving digital marketing landscape, guidance from experienced professionals can accelerate results and help avoid common pitfalls.

Whether you are refining your content strategy, building authority in your niche, or establishing measurement frameworks for AI visibility, working with seasoned experts can provide the insights and accountability needed for success. To accelerate your growth and develop a GEO strategy tailored to your start-up's unique position, connect with our network of experienced mentors who understand the intersection of AI, digital marketing, and business growth in the UAE market.